ARES: a relational database with the capability of performing flexible interpretation of queries
IEEE Transactions on Software Engineering
VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
Retrieval of multimedia documents by imprecise query specification
EDBT '90 Proceedings of the 2nd international conference on extending database technology: Advances in Database Technology
CoBase: a scalable and extensible cooperative information system
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Data mining: concepts and techniques
Data mining: concepts and techniques
Histogram-Based Approximation of Set-Valued Query-Answers
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Preferences; Putting More Knowledge into Queries
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Oracle Database 10g The Complete Reference
Oracle Database 10g The Complete Reference
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Database flexible querying is an alternative to the classic one for users. The use of Formal Concepts Analysis (FCA) makes it possible to turn approximate answers that those turned over by a classic DataBase Management System (DBMS). Some applications do not need exact answers. However, database flexible querying can be expensive in response time. This time is more significant when the flexible querying require the calculation of aggregate functions ("Sum", "Avg", "Count", "Var" etc.). Online aggregation enables a user to issue an SQL aggregate query, see results immediately, and adjust the processing as the query runs. In this case, the user sees refining estimates of the final aggregation results. In spite of the success which known this method, until now, it hasn't been integrated in flexible querying systems. In this article, we propose an approach which tries to solve this problem by using approximate query processing (AQP). This approach allow user to i) wrote flexible query contains linguistics terms, ii) observe the progress of their aggregation queries and iii) control execution on the fly. We report on an initial implementation of online aggregation in a flexible querying system.